Christopher Beckham

Orcid: 0000-0001-6337-4526

According to our database1, Christopher Beckham authored at least 20 papers between 2016 and 2023.

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Bibliography

2023
Visual question answering from another perspective: CLEVR mental rotation tests.
Pattern Recognit., April, 2023

Parallel-mentoring for Offline Model-based Optimization.
CoRR, 2023

Conservative objective models are a special kind of contrastive divergence-based energy model.
CoRR, 2023

Score-based Diffusion Models in Function Space.
CoRR, 2023

Parallel-mentoring for Offline Model-based Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Towards annotation-efficient segmentation via image-to-image translation.
Medical Image Anal., 2022

Towards good validation metrics for generative models in offline model-based optimisation.
CoRR, 2022

Challenges in leveraging GANs for few-shot data augmentation.
CoRR, 2022

Overcoming challenges in leveraging GANs for few-shot data augmentation.
Proceedings of the Conference on Lifelong Learning Agents, 2022

2019
WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j.
Knowl. Based Syst., 2019

On Adversarial Mixup Resynthesis.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Manifold Mixup: Better Representations by Interpolating Hidden States.
Proceedings of the 36th International Conference on Machine Learning, 2019

Adversarial Mixup Resynthesizers.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

2018
Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer.
CoRR, 2018

Unsupervised Depth Estimation, 3D Face Rotation and Replacement.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
A step towards procedural terrain generation with GANs.
CoRR, 2017

ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Unimodal Probability Distributions for Deep Ordinal Classification.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets.
CoRR, 2016

A simple squared-error reformulation for ordinal classification.
CoRR, 2016


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